FraudSim: Simulating fraud in a public delivery program

Yushim Kim, Ningchuan Xiao

    Research output: Chapter in Book/Report/Conference proceedingChapter

    10 Scopus citations


    This chapter shows that white-collar crime can be approached using an agent-based model. Fraud in public delivery programs often involves several entities that are loosely interrelated and interact dynamically. However, the crime literature has not paid sufficient attention to these characteristics, thus providing limited utility for public managers. This chapter frames a public delivery program as a complex system. The patterns of fraud in such a system are simulated using an agent-based model called FraudSim. We demonstrate that FraudSim closely replicates the statistical and spatial patterns of fraud and provides a framework for future work in this area.

    Original languageEnglish (US)
    Title of host publicationArtificial Crime Analysis Systems
    Subtitle of host publicationUsing Computer Simulations and Geographic Information Systems
    PublisherIGI Global
    Number of pages19
    ISBN (Print)9781599045917
    StatePublished - 2008

    ASJC Scopus subject areas

    • Computer Science(all)


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